Ning Liu

Ning Liu

Assistant Professor, School of Software, Shandong University

Publications

Performance Evaluation of Self-Similar GPS Scheduling: A Knowledge-Driven Dual-Task Deep Learning Approach

Published in IEEE TCCN, 中科院1区, 2024

knowledge-driven applications

Recommended citation: Ran Zhang, Ning Liu*, Lei Liu*, Mianxiong Dong, Kaoru Ota, Zhongmin Yan. "Performance Evaluation of Self-Similar GPS Scheduling: A Knowledge-Driven Dual-Task Deep Learning Approach," in IEEE Transactions on Cognitive Communications and Networking, vol. 10, no. 2, pp. 510-525, April 2024, doi: 10.1109/TCCN.2023.3328986. https://ieeexplore.ieee.org/document/10304300

Longitudinal assessment of the effects of passive training on stroke rehabilitation using fNIRS technology

Published in IJHCS, CCF A, 2024

Interpretable machine learning

Recommended citation: Tan Zou#, Ning Liu#, Wenfeng Wang, Qinbiao Li, and Lingguo Bu. 2024. Longitudinal assessment of the effects of passive training on stroke rehabilitation using fNIRS technology. Int. J. Hum.-Comput. Stud. 183, C (Mar 2024). https://doi.org/10.1016/j.ijhcs.2023.103202. https://dl.acm.org/doi/10.1016/j.ijhcs.2023.103202'

HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion

Published in IEEE TNNLS, CCF B, 2023

Medical Data Mining

Recommended citation: Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu. "HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion," in IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 10, pp. 6940-6954, Oct. 2023, doi: 10.1109/TNNLS.2022.3202305. https://ieeexplore.ieee.org/abstract/document/9887968

Sample and Feature Enhanced Few-Shot Knowledge Graph Completion

Published in DASFAA, CCF B, 2023

Data-Centric AI

Recommended citation: Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui. (2023). Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. In: Wang, X., et al. Database Systems for Advanced Applications. DASFAA 2023. Lecture Notes in Computer Science, vol 13944. Springer, Cham. https://doi.org/10.1007/978-3-031-30672-3_54. https://link.springer.com/chapter/10.1007/978-3-031-30672-3_54

Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction

Published in CACAI, CAAI A, 2023

Medical Data Mining

Recommended citation: Xiao Yang, Ning Liu*, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui. (2022). Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. In: Fang, L., Povey, D., Zhai, G., Mei, T., Wang, R. (eds) Artificial Intelligence. CICAI 2022. Lecture Notes in Computer Science(), vol 13605. Springer, Cham. https://doi.org/10.1007/978-3-031-20500-2_36 https://doi.org/10.1007/978-3-031-20500-2_36

KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer

Published in DASFAA, CCF B, 2022

medical data mining

Recommended citation: Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, and Yonghui Xu. 2022. KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. In Database Systems for Advanced Applications: 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part III. Springer-Verlag, Berlin, Heidelberg, 117–132. https://doi.org/10.1007/978-3-031-00129-1_8 https://dl.acm.org/doi/abs/10.1007/978-3-031-00129-1_8

Similarity-Aware Collaborative Learning for Patient Outcome Prediction

Published in DASFAA, CCF B, 2022

medical data mining

Recommended citation: Fuqiang Yu, Lizhen Cui*, Yiming Cao, Ning Liu*, Weiming Huang, Yonghui Xu. (2022). Similarity-Aware Collaborative Learning for Patient Outcome Prediction. In: Bhattacharya, A., et al. Database Systems for Advanced Applications. DASFAA 2022. Lecture Notes in Computer Science, vol 13246. Springer, Cham. https://doi.org/10.1007/978-3-031-00126-0_31 https://link.springer.com/chapter/10.1007/978-3-031-00126-0_31

Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack

Published in DASFAA, CCF B, 2021

Adversial Attack for EHRs

Recommended citation: Zhang, Rui, Wei Zhang, Ning Liu, and Jianyong Wang. Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack. In International Conference on Database Systems for Advanced Applications, pp. 429-444. Springer, Cham, 2021. https://www.springerprofessional.de/en/susceptible-temporal-patterns-discovery-for-electronic-health-re/19040914

Prognostic significance of systemic immune-inflammation index-based nomogram for early stage hepatocellular carcinoma after radiofrequency ablation

Published in J Gastrointest Oncol. SCI, 2021

Risk prediction using nomogram

Recommended citation: Xin, Y., Yang, Y., Liu, N., Chen, Y., Wang, Y., Zhang, X., Li, X. and Zhou, X., 2021. Prognostic significance of systemic immune-inflammation index-based nomogram for early stage hepatocellular carcinoma after radiofrequency ablation. Journal of Gastrointestinal Oncology, 12(2), p.735. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107607/

Coupled Graph Neural Networks for Text-oriented Clinical Diagnosis Inference

Published in DASFAA, CCF B, 2020

Medical Data Mining

Recommended citation: Ning Liu, Wei Zhang , Xiuxing Li, Haitao Yuyan, Jianyong Wang. (2020) Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference. In: Nah Y., Cui B., Lee SW., Yu J.X., Moon YS., Whang S.E. (eds) Database Systems for Advanced Applications. DASFAA 2020. Lecture Notes in Computer Science, vol 12112. Springer, Cham. https://doi.org/10.1007/978-3-030-59410-7_26 https://link.springer.com/chapter/10.1007/978-3-030-59410-7_26